Monthly Traffic Safety Analysis

21 CRASHES IN
UXBRIDGE, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

In August 2022, UXBRIDGE experienced 21 total crashes, a 16% decrease from the 25 crashes reported in August 2021. Despite this overall reduction, the number of individuals injured increased from 8 to 9 year-over-year. Fatalities remained at zero in both periods.

21

-16.0%was 25

Total Crash Events

0

Persons Killed

9

12.5%was 8

Persons Injured

0

-100.0%was 4

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends in UXBRIDGE show a decrease in total crashes, falling from 25 in August 2021 to 21 in August 2022, representing a 16% reduction. While fatalities remained at zero in both periods, the total number of injuries rose by 12.5%, from 8 to 9.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

8

Motorists Injured

Prior: 80.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year, with the peak day moving from Thursday in August 2021 (7 crashes) to Friday in August 2022 (6 crashes). The peak crash hour also changed, occurring at 8p with 4 crashes in the prior period, compared to 2p with 3 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in UXBRIDGE during either August 2021 or August 2022. However, total injuries increased from 8 to 9 year-over-year, and crashes involving serious injuries rose from zero in August 2021 to 3 in August 2022. The proportion of crashes with minor injuries decreased slightly from 16% to 14.3%.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes14.3%
Minor Injury3minor injury crashes14.3%
-25.0%prior 4
Possible Injury1possible injury crashes4.8%
0.0%prior 1
No Injury14no injury crashes66.7%
-17.6%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Inattention' increased from 3 in August 2021 to 4 in August 2022, while 'No improper driving' decreased from 6 to 4 crashes. 'Failed to yield right of way' saw a significant reduction from 6 to 1 crash. 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased from 1 to 2 crashes year-over-year. Notably, 'Fatigued/asleep' was a factor in 2 crashes in August 2022, a factor not observed in the prior period's top list.

Officer-Reported Primary Contributing Cause

Inattention4 (19%)
No improper driving4 (19%)-33.3%prior 6
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (9.5%)
Fatigued/asleep2 (9.5%)
Made an improper turn1 (4.8%)
Failed to yield right of way1 (4.8%)-83.3%prior 6
Operating defective equipment1 (4.8%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 22 in August 2021 to 15 in August 2022. Similarly, crashes on 'Dry' road surfaces decreased from 22 to 18 year-over-year. Crashes under 'Daylight' conditions also saw a reduction from 18 to 14, while crashes in 'Dark - lighted roadway', 'Dark - roadway not lighted', and 'Dusk' conditions remained stable.

Weather

Clear15 (75.0%)
-31.8%prior 22
Cloudy2 (10.0%)
Rain1 (5.0%)
Rain/Fog, smog, smoke1 (5.0%)
Rain/Severe crosswinds1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash

Lighting

Daylight14 (70.0%)
-22.2%prior 18
Dark - lighted roadway3 (15.0%)
Dark - roadway not lighted2 (10.0%)
Dusk1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry18 (85.7%)
-18.2%prior 22
Wet2 (9.5%)
Water (standing, moving)1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (30 vehicles)

1
FORD5 (16.7%)
2
HONDA5 (16.7%)
3
CHEVROLET5 (16.7%)
4
TOYOTA4 (13.3%)
5
HYUNDAI2 (6.7%)
6
NISSAN2 (6.7%)
-60.0%prior 5
7
CADI1 (3.3%)
8
JEEP1 (3.3%)
-80.0%prior 5
9
PONT1 (3.3%)
10
SAAB1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

3 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (33 persons with recorded sex)

Male19 (57.6%)
-13.6%prior 22
Female14 (42.4%)
-53.3%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones changed in August 2022 compared to August 2021. Crashes in 25 mph zones significantly decreased from 7 to 1, while those in 30 mph zones increased from 2 to 5. Additionally, crashes in 5 mph zones rose from 1 to 3, and 65 mph zones increased from 2 to 3 crashes year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Arcgis_yearly Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: UXBRIDGE, MA
  • Total crash records analyzed: 21
  • Total persons involved: 38
  • Total vehicles involved: 30

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "UXBRIDGE, MA Crash Intelligence Report: August 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/uxbridge/august-2022-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Uxbridge, MA Crash Report — August 2022 | ThatCarHitMe.com